The Future of Hyperspectral Imaging

The Future of Hyperspectral Imaging

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Detalles Bibliográficos
Autor principal: Selci, Stefano (auth)
Formato: Capítulo de libro
Publicado: MDPI - Multidisciplinary Digital Publishing Institute 2019
Materias:
information theoretic analysis
multiplexing system
HSI for biology
point target detection
digital elevation model
neural networks
oxygen saturation
black polymers
PZT
blood detection
multivariate analysis
integral imaging
hemispherical conical reflectance factor (HCRF)
sprouting
fluorescence
multitemporal hyperspectral images
plant phenotyping
hyperspectral data mining and compression
Raman
medical imaging by HSI
compressive detection
stereo imaging
image processing
wound healing
quality control
lossless compression
infrared hyperspectral imaging
spectral tracking
time series
remote sensing
diabetic foot ulcer
classification
Raman spectroscopy
imaging
fingerprints
fusion
wavelength selection
Cramer-Rao lower bound
three-dimensional imaging
chemical imaging
CS-MUSI
total variation
coastal dynamics
forward observation model
hyperspectral imaging
fluorescence hyperspectral imaging
age determination
potatoes
painting samples
predictive coding
hyperspectral
video
bi-directional reflectance distribution function (BRDF)
optimal binary filters
watercolours
deep learning
spectroscopy
moving vehicle imaging
sorting
maximum likelihood
multivariate data analysis
interval partial least squares
disease detection
Raman hyperspectral imaging
primordial leaf count
machine learning
spatial light modulators (SLM)
Virginia Coast Reserve Long Term Ecological Research (VCR LTER)
digital micromirror device (DMD)
hyperspectral microscopy
alternating direction method of multipliers
statistical methods for HSI
multiband image fusion
digital light processor (DLP)
linear mixture model
retouching pigments
liquid crystal
principal component analysis
Chemometrics
compressive sensing
PLSR
Hyperspectral imaging
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